Decomperson investigates how people use decompiler output and what that reveals about human reverse-engineering work. It is useful for designing analyst tools and AI assistance that support real questions instead of optimizing only a code-generation score. Read the study tasks and participant conditions before treating its observations as universal behavior across every analyst and binary type.
Why read it
Use the paper to ask which presentation choices help an analyst find an answer and which errors create extra work. Pair those lessons with a small usability test on the actual workflow being designed.
Limits
The USENIX Security page is the primary publication record. A human study characterizes its participants and tasks; it does not provide a direct performance guarantee for a new tool.
Requirements & evidence
- Resource type
- Paper
- Category
- Unknown
- Host platforms
- Unknown
- Targets
- Unknown
- Level
- Unknown
- Author(s)
- Kevin Burk, Fabio Pagani, Christopher Kruegel, Giovanni Vigna
- Year
- 2022
- Venue
- USENIX Security 2022
- Current version
- Unknown
- Version date
- 2022-08
- Topic
- Human analyst study using perfect decompilation as measurement
- Source checked
- 2026-11-04T10:32:56.099483+00:00
Unknown fields have not been established by an author or publisher source.
Primary sources
Source descriptions establish documented scope. They do not establish that every workflow has been reproduced by AI Craft Pad.